Evidence map›Paper›PMID 35850688›Full record

ArticleCardiovascular diabetology2022

Circulating metabolites and molecular lipid species are associated with future cardiovascular morbidity and mortality in type 1 diabetes.

Luis F Ferreira-Divino, Tommi Suvitaival, Viktor Rotbain Curovic, Nete Tofte, Kajetan Trošt, Ismo M Mattila, Simone Theilade, Signe A Winther, Tine W Hansen, Marie Frimodt-Møller and 2 more

Open access · goldAbstract read
In one paragraph

Article in Cardiovascular diabetology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
2.6field-weighted citation impact, top 9% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 25 citations in OpenAlex.

  1. Pooled it
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  14. Nuclear Magnetic Resonance-Based Lipidomics in the Assessment of Cardiometabolic Risk in Type 1 Diabetes: An Exploratory Analysis.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2023
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors at 1 institution in 1 country.

Luis F Ferreira-Divino *Steno Diabetes Center Copenhagen, Borgmester Ib Juuls Vej 83, 2730, Herlev, Denmark. luis.felipe.ferreira.divino@regionh.dk.
Tommi Suvitaival *Steno Diabetes Center Copenhagen, Borgmester Ib Juuls Vej 83, 2730, Herlev, Denmark.
Viktor Rotbain CurovicSteno Diabetes Center Copenhagen, Borgmester Ib Juuls Vej 83, 2730, Herlev, Denmark.
Nete TofteSteno Diabetes Center Copenhagen, Borgmester Ib Juuls Vej 83, 2730, Herlev, Denmark.
Kajetan TroštSteno Diabetes Center Copenhagen, Borgmester Ib Juuls Vej 83, 2730, Herlev, Denmark.
Ismo M MattilaSteno Diabetes Center Copenhagen, Borgmester Ib Juuls Vej 83, 2730, Herlev, Denmark.
Simone TheiladeSteno Diabetes Center Copenhagen, Borgmester Ib Juuls Vej 83, 2730, Herlev, Denmark.
Signe A WintherSteno Diabetes Center Copenhagen, Borgmester Ib Juuls Vej 83, 2730, Herlev, Denmark.
Tine W HansenSteno Diabetes Center Copenhagen, Borgmester Ib Juuls Vej 83, 2730, Herlev, Denmark.
Marie Frimodt-MøllerSteno Diabetes Center Copenhagen, Borgmester Ib Juuls Vej 83, 2730, Herlev, Denmark.
Cristina Legido-Quigley *Steno Diabetes Center Copenhagen, Borgmester Ib Juuls Vej 83, 2730, Herlev, Denmark.
Peter Rossing *Steno Diabetes Center Copenhagen, Borgmester Ib Juuls Vej 83, 2730, Herlev, Denmark.
Steno Diabetes Center · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCardiovascular disease remains the leading cause of mortality in individuals with diabetes and improved understanding of its pathophysiology is needed. We investigated the association of a large panel of metabolites and molecular lipid species with future cardiovascular events in type 1 diabetes.

methodsThe study included 669 individuals with type 1 diabetes. Non-targeted serum metabolomics and lipidomics analyses were performed using mass spectrometry. Data on cardiovascular events (cardiovascular mortality, coronary artery disease, stroke, and peripheral arterial interventions) were obtained from Danish Health registries and analyzed by Cox hazards models. Metabolites and molecular lipid species were analyzed in univariate models adjusted for false discovery rate (FDR). Metabolites and molecular lipid species fulfilling a p

resultsOf the included participants, 55% were male and mean age was 55 ± 13 years. Higher 4-hydroxyphenylacetic acid (HR 1.35, CI [1.01-1.80], p = 0.04) and lower threonine (HR 0.81, CI [0.67-0.98] p = 0.03) were associated with development of cardiovascular events (n = 95). In lipidomics analysis, higher levels of three different species, diacyl-phosphatidylcholines (PC)(36:2) (HR 0.82, CI [0.70-0.98], p = 0.02), alkyl-acyl-phosphatidylcholines (PC-O)(34:2) (HR 0.76, CI [0.59-0.98], p = 0.03) and (PC-O)(34:3) (HR 0.75, CI [0.58-0.97], p = 0.03), correlated with lower risk of cardiovascular events, whereas higher sphingomyelin (SM)(34:1) (HR 1.32, CI [1.04-1.68], p = 0.02), was associated with an increased risk.

conclusionsCirculating metabolites and molecular lipid species were associated with future cardiovascular events in type 1 diabetes. While the causal effect of these biomolecules on the cardiovascular system remains unknown, our findings support that omics-based technologies, although still in an early phase, may have the potential to unravel new pathways and biomarkers in the field of cardiovascular disease in type 1 diabetes.

Indexed as

Cardiovascular DiseasesDiabetes Mellitus, Type 1AdultAgedCholesterol, LDLDisease ProgressionFemaleGlycated HemoglobinHumansMaleMiddle AgedPhosphatidylcholinesRisk FactorsCholesterol, LDLGlycated HemoglobinPhosphatidylcholinesCardiovascular diseaseCardiovascular mortalityLipidomicsMetabolomicsOmicsType 1 diabetes

Identifiers

PMID35850688
PMCPMC9295441
OpenAlexW4285727333

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.